import numpy as np
from sklearn import datasets
from sklearn.linear_model import LinearRegression
import pandas as pd

# data_url = "http://lib.stat.cmu.edu/datasets/boston"
# raw_df = pd.read_csv(data_url, sep="\s+", skiprows=22, header=None)
# print(raw_df)
arr = np.array([['a','1'],['b','2'],['c','3'],['d','4']])
print(arr)
print(arr[[1,2]])
